Job Title Master Data Governance Lead Location New Brunswick, NJ Duration 6 months (potential extension or right to hire) W2 candidates EM would like to see the following on each submittal Experience in the development of Enterprise AI Machine Learning policies Experience in establishing value from data frameworks 3 years-experience with GDPR and other Global privacy regulations Experience with establishing Enterprise data access and control frameworks 2-5 years-experience implementing Data Lake data governance frameworks The Data Governance Lead is an IT role working closely with Business Partners. The individual will drive the data quality, data integrity and data management across the enterprise that will enable business users to leverage and use the data as a differentiator in running the business with accurate and core business information and intelligence. This leadership role is responsible for understanding business and IT needs across the enterprise around key data domains and driving the definition and prioritization of data improvement initiatives. The ultimate objective is to build data as an enterprise asset helping drive best in class data management activities, customer satisfaction, revenue growth and operational productivity. Some of the key responsibilities will be -Manage a portfolio of enterprise data-related initiatives -Foster relationships with key stakeholders across the business segments, both business and IT -Build and drive plan to improve data practices for operational, reporting and analysis needs -Synthesize business needs across the company for priority data domains into data improvement initiatives and data governance requirements -Drive an effective framework for prioritization -Partner with data governance team to plan, prioritize and implement solutions to data issues and governance, providing clarity on business needs and priorities -Work closely with IT, business application and data governance teams to expand adoption of governance framework -Help business functions find short-term tactical workarounds to data issues to meet critical business needs while also identifying initiatives to solve the core data issue -Build organization understanding of data lifecycles from creation to end use, working with subject matter experts in various business functions, operations and IT teams -Identify business processes impacting data quality and collaborate with teams to improve data quality -Develop data quality metrics measuring status progress towards meeting business needs -Seek out industry best practices and incorporate relevant ideas If interested, you may contact June Binuya Juneeclaro.com June Binuya LinkedIn Equal Opportunity Employer Eclaro values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.